Update synonyms.py

synonyms.py

@@ -1,7 +1,12 @@
+import rapidfuzz
+
 import pandas as pd
 from sentence_transformers import SentenceTransformer
 cmp_model = SentenceTransformer('uer/sbert-base-chinese-nli')
 
 def compare(text0, text1):
+    val = rapidfuzz.fuzz.ratio(text0, text1)
+    if val >= 75:
+        return val
     embeddings = cmp_model.encode([text0, text1])
     return int(pd.DataFrame(embeddings.T).corr().iloc[0, 1] * 100)